Abstract
The interference environment faced by Ultra-wideband (UWB) cognitive radar has the characteristics of wide bandwidth and extensive dynamic range. For that, a higher sampling rate is required for spectrum sensing. The current coprime sampling scheme can significantly reduce the sampling rate and show a high degree of freedom. However, the virtual co-array generated by coprime sampling has certain missing elements, leading to errors and the lack of spectral estimation information. This paper proposes a delayed coprime sampling scheme to supplement missing elements in virtual co-arrays to increase degrees of freedom. The regularity of the holes and the selection of suitable delay factors are also presented. The simulation results show that the proposed method can further improve the degree of freedom and theoretically achieve the maximum degree of freedom of a fixed sample. The precision of the spectrum estimation is also improved since the data generated by the proposed method can be used to estimate the existing elements in the virtual co-array.
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